R/simulatePredictionData.R
simulatePredictionData.Rd
Simulate data to test logistic regression.
simulatePredictionData(mean1 = 0.1, n1 = 100, mean2 = mean1, n2 = n1, mean_unknown = (mean1 + mean2)/2, n_unknown = round(n1/2), ratio_unknown = 0.5, sd = 0.2, group_labels = c("A", "B", "NA"))
mean1  the mean of group 1. 

n1  the size of group 1. 
mean2  the mean of group 2. 
n2  the size of group 2. 
mean_unknown  the mean of the group with a random outcome. 
n_unknown  the size of the group with a random outcome. 
ratio_unknown  the probability of outcome 1 occurring in the random group. 
sd  the standard deviation for each group (i.e. parameter passed to

group_labels  the labels for the groups in the 
a data.frame
with n1 + n2 + n_unknown
rows and 3
variables (Group
, X
, and Y
).